Type 1 vs Type 2 Decisions
Bezos's Type 1 vs Type 2 framework is the single most useful piece of leadership math: classify every decision by reversibility before discussing it. Type 1 (one-way doors) are irreversible or near-irreversible โ selling the company, choosing a co-founder, raising a Series A on punitive terms. These deserve deep deliberation. Type 2 (two-way doors) are reversible โ pricing tests, hiring decisions, feature launches. These deserve speed. Bezos's 2015 shareholder letter quantified the leverage: '90% of decisions in any company are Type 2 and should be made fast and decentralized.' Companies that treat all decisions as Type 1 die of slowness. Companies that treat all decisions as Type 2 die of recklessness. The discipline is naming which is which BEFORE arguing about the answer.
The Trap
KnowMBA POV: Type 2 decisions get over-deliberated and Type 1 decisions get under-deliberated. Both errors are systematic. Why? Type 2 decisions feel scary in the moment (fear of making the wrong call) so leaders escalate them. Type 1 decisions feel exciting (fundraising! acquisition! pivot!) so leaders rush them. The result is the inverse of what's optimal: small reversible bets eat weeks of leadership time, while million-dollar irreversible bets get decided over dinner. The cure is the explicit classification step before any discussion of the substance.
What to Do
Add one mandatory step to every meaningful decision: classify it. (1) Write the decision in one sentence. (2) Ask: 'If we get this wrong, how long and how expensive is the reversal?' < 3 months and < 5% of budget = Type 2 (decide in 48 hours). > 12 months or > 20% of budget = Type 1 (deserves a 6-page memo and the full leadership team). (3) Push Type 2 decisions DOWN โ they should not require executive approval. (4) Pull Type 1 decisions UP and SLOW them โ they deserve written analysis, pre-mortem, and dissent surfacing. (5) Track decisions in a log: classification, decision time, outcome at 6 months. Audit yourself for misclassification.
Formula
In Practice
Bezos's 2015 shareholder letter introduced the principle to the public: 'Some decisions are consequential and irreversible or nearly irreversible โ one-way doors โ and these decisions must be made methodically, carefully, slowly, with great deliberation and consultation. If you walk through and don't like what you see on the other side, you can't get back to where you were before. We can call these Type 1 decisions. But most decisions aren't like that โ they are changeable, reversible โ they're two-way doors. If you've made a suboptimal Type 2 decision, you don't have to live with the consequences for that long. You can reopen the door and go back through.' Source: Jeff Bezos, 2015 Letter to Shareholders.
Pro Tips
- 01
The 'reversibility test' is concrete: 'If we make this decision today and it's wrong, what does the recovery look like in 6 months?' If the answer is a sprint of work, decide today. If it's a 12-month re-platform, slow down.
- 02
Type 1 decisions are rare. In a typical week of leadership decisions, expect 1-2 Type 1s and 30-50 Type 2s. If your week has 10 Type 1s, you're probably misclassifying โ or making decisions that should have been delegated.
- 03
Hiring is the most commonly misclassified decision. Hiring a junior engineer is Type 2 (you can let go in 90 days). Hiring a VP of Sales is closer to Type 1 (their decisions reshape the org for 18+ months even after they leave). Most companies treat both with the same process.
Myth vs Reality
Myth
โBigger budget = Type 1 decisionโ
Reality
Cost is one signal but not the controlling one. A $500K marketing test that's measurable in 90 days is Type 2 even though it's expensive. A $50K decision to publicly take a political stance is closer to Type 1 because the brand impact is hard to reverse. Reversibility, not cost, is the lead variable.
Myth
โType 2 decisions don't need analysisโ
Reality
Type 2 decisions deserve PROPORTIONATE analysis โ usually a few hours, not weeks. The mistake is binary thinking. A Type 2 decision still benefits from a 1-page write-up; it just doesn't need a 6-page memo and 3 reviews.
Try it
Run the numbers.
Pressure-test the concept against your own knowledge โ answer the challenge or try the live scenario.
Knowledge Check
You're CEO. Your team is debating four decisions. Which one is MOST clearly a Type 1 (irreversible, deserves deep deliberation)?
Industry benchmarks
Is your number good?
Calibrate against real-world tiers. Use these ranges as targets โ not absolutes.
Type 2 Decision Velocity (avg time to decide)
Companies with explicit Type 1/Type 2 classification processElite (Amazon)
< 48 hours
Healthy
2-7 days
Slow
1-3 weeks
Stuck
> 3 weeks
Source: Amazon Leadership Principles + Bain Decision Effectiveness Study
Real-world cases
Companies that lived this.
Verified narratives with the numbers that prove (or break) the concept.
Amazon
1997-Present
Bezos formalized Type 1 vs Type 2 in his 2015 shareholder letter, but the principle had been operating internally since the late 1990s. The classification is encoded in Amazon's two-pizza team structure: small autonomous teams have full authority over Type 2 decisions, with no executive approval needed. Only true Type 1s โ major capex, irreversible architecture, M&A โ escalate to Bezos's S-team. This is why Amazon ships ~3,000 features per year on AWS alone with a 1.5M-employee company.
Year Principle Documented Publicly
2015 Shareholder Letter
AWS Features Shipped/Year
~3,000
Two-Pizza Teams (Estimated)
5,000+
% of Decisions Made Below VP Level
~95% (per Bezos)
Amazon's velocity isn't from working harder โ it's from classifying decisions correctly. The 90/10 split (Type 2 / Type 1) is preserved by the org structure: small teams with autonomy on Type 2 + S-team review on Type 1.
Sears
2000-2018
Hypothetical: Sears under Eddie Lampert systematically misclassified its largest strategic decisions. The decision to under-invest in e-commerce was treated as a Type 2 (we can ramp up later) when it was actually a Type 1 (every year of underinvestment foreclosed market position). Meanwhile, the company spent enormous executive bandwidth on small reversible decisions like store layout changes. The misclassification compounded: by 2015 the e-commerce gap was unrecoverable and the company filed bankruptcy in 2018.
Peak Revenue (2006)
$53B
Online Sales as % of Total (2010)
<3%
Bankruptcy Filed
2018
Years of Type 1 Decision Treated as Type 2
~10
When you misclassify a Type 1 as a Type 2, you're not 'moving fast' โ you're sleepwalking through a permanent commitment. The cost of misclassification is asymmetric: under-deliberating a Type 1 ends companies; over-deliberating a Type 2 just slows them down.
Decision scenario
The Acquisition Offer
You're CEO of a $30M ARR SaaS company. A larger competitor offers to acquire you for $200M cash. Your CFO wants to evaluate over 30 days. Your VP of Engineering says 'this is a no-brainer, take it.' Your board chair says 'we should think about this carefully but not too long.' The offer expires in 21 days.
ARR
$30M
Offer
$200M cash (~6.7x ARR)
Offer Expiration
21 days
Decision Type
??
Decision 1
You need to classify the decision before discussing the answer. Selling the company is the canonical Type 1 โ fully irreversible. But the offer expiration creates time pressure that pushes some leaders to treat it as Type 2.
Treat the time pressure as the dominant signal: decide in 1 week using the leadership team's gut, optimize for not letting the offer expireReveal
Classify as Type 1: hire an investment banker IMMEDIATELY for parallel diligence, request a 14-day offer extension, run a quiet outreach to 2-3 strategic alternates, write a 6-page decision memo with scenariosโ OptimalReveal
Related concepts
Keep connecting.
The concepts that orbit this one โ each one sharpens the others.
Beyond the concept
Turn Type 1 vs Type 2 Decisions into a live operating decision.
Use this concept as the framing layer, then move into a diagnostic if it maps directly to a current bottleneck.
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Turn Type 1 vs Type 2 Decisions into a live operating decision.
Use Type 1 vs Type 2 Decisions as the framing layer, then move into diagnostics or advisory if this maps directly to a current business bottleneck.